Defining and validating predictors of cerebral infarction using brain CT images

Research Opportunity
Honours students
Number of Honour Places Available
Department / Centre
Medicine and Radiology
Royal Melbourne Hospital
Primary Supervisor Email Number Webpage
Dr Freda Werdiger 0421977374 Personal web page
Co-supervisor Email Number Webpage
Dr Andrew Bivard Personal web page

Summary This project will contribute to a larger project on developing decision assistance tools for management of acute stroke. You will find and validate expressions of known clinical variables on CT images using imaging informatics, with Computer Vision and Deep Learning tools.

Project Details

Computed tomographic perfusion imaging (CTP) is a method of extracting the hemodynamic properties from the brain of a patient with suspect ischemia. These properties are used to determine the extent of irreversible damage (the ischemic core) and the extent of reversible damage (penumbra), that is, regions where restored blood flow will salvage the tissue. Treatment decisions can be made based on that information. However, the standard non-contrast CT (NCCT) also contains useful information which, combined with CTP measures will provide a more comprehensive analysis of tissue risk and, ultimately, a better standard of care.

In this project, you will process NCCT images and determine their predictive value using a large repository of retrospective patient imaging data. This will involve using computer vision tools such as skull stripping, image alignment and registration to atlas, using and testing quantitative measures of clinically known imaging characteristics such as hypodensity as predictive measures, as well as using Convolutional Neural Networks to find hidden features of the NCCT.

This is a suitable project for a student wishing to gain more experience in computational methods while working as part of a larger stroke research team.

Faculty Research Themes


School Research Themes

Neuroscience & Psychiatry

Research Opportunities

Honours students
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department / Centre

Medicine and Radiology

Research Node

Royal Melbourne Hospital

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